![](/images/graphics-bg.png)
Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers
Joint Authors
Zhang, Bob
Shu, Ting
Tang, Yuan Yan
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
At present, heart disease is the number one cause of death worldwide.
Traditionally, heart disease is commonly detected using blood tests, electrocardiogram, cardiac computerized tomography scan, cardiac magnetic resonance imaging, and so on.
However, these traditional diagnostic methods are time consuming and/or invasive.
In this paper, we propose an effective noninvasive computerized method based on facial images to quantitatively detect heart disease.
Specifically, facial key block color features are extracted from facial images and analyzed using the Probabilistic Collaborative Representation Based Classifier.
The idea of facial key block color analysis is founded in Traditional Chinese Medicine.
A new dataset consisting of 581 heart disease and 581 healthy samples was experimented by the proposed method.
In order to optimize the Probabilistic Collaborative Representation Based Classifier, an analysis of its parameters was performed.
According to the experimental results, the proposed method obtains the highest accuracy compared with other classifiers and is proven to be effective at heart disease detection.
American Psychological Association (APA)
Shu, Ting& Zhang, Bob& Tang, Yuan Yan. 2017. Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers. Evidence-Based Complementary and Alternative Medicine،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1154555
Modern Language Association (MLA)
Shu, Ting…[et al.]. Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers. Evidence-Based Complementary and Alternative Medicine No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1154555
American Medical Association (AMA)
Shu, Ting& Zhang, Bob& Tang, Yuan Yan. Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers. Evidence-Based Complementary and Alternative Medicine. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1154555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1154555